Top Senior Level Fintech Data Engineering Jobs in New York City, NY

As the first Analytics Engineer at Rain, you will consolidate and model data sources, create reliable datasets, and develop metrics and dashboards for decision-making across the company.

Lead Aladdin client projects in data integration and conversion, collaborating with clients and stakeholders to deliver solutions on-time and on-budget.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

The Head of Data will advance Addition Wealth's data strategy, managing a small team while being hands-on in analytics and data engineering to achieve measurable business outcomes.

As a Solutions Architect, you'll drive the strategy and implementation of cloud-based Data Fabric and Data Mesh, enabling decentralized data ownership and collaboration across teams.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

As a Data Architect, you will design and implement data architecture, support analytics pipelines, and collaborate on data modeling. Responsibilities include ensuring modularity, testing, and governance while promoting best practices in data management.

As a Lead NetSuite Developer, you will maintain and enhance the ERP platform, focusing on development, configuration, integrations, and ensuring data accuracy.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.